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Estimating User Influence in the MedHelp Social Network

Published: 01 September 2012 Publication History

Abstract

A method of identifying influential users in an online healthcare community incorporates users' message similarity and response immediacy.

Cited By

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  • (2016)Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media PlatformsProceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2939672.2939681(225-234)Online publication date: 13-Aug-2016
  • (2015)CARESOMEKnowledge-Based Systems10.1016/j.knosys.2014.12.03380:C(163-179)Online publication date: 1-May-2015

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Information & Contributors

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Published In

cover image IEEE Intelligent Systems
IEEE Intelligent Systems  Volume 27, Issue 5
September 2012
76 pages

Publisher

IEEE Educational Activities Department

United States

Publication History

Published: 01 September 2012

Author Tags

  1. Algorithm design and analysis
  2. Communities
  3. Diseases
  4. Internet
  5. Media
  6. PageRank
  7. Social network services
  8. UserRank
  9. Web 2.0
  10. content analysis
  11. health informatics
  12. link analysis
  13. social computing
  14. social influence
  15. social medial analytics
  16. social networking

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Cited By

View all
  • (2016)Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media PlatformsProceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2939672.2939681(225-234)Online publication date: 13-Aug-2016
  • (2015)CARESOMEKnowledge-Based Systems10.1016/j.knosys.2014.12.03380:C(163-179)Online publication date: 1-May-2015

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